Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68073
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Industrial IoT
Priyadarshini College of Engineering
Industrial IoT
Priyadarshini College of Engineering
Industrial IoT
Priyadarshini College of Engineering
Industrial IoT
Priyadarshini College of Engineering
Industrial IoT
Priyadarshini College of Engineering
This paper presents the design of Decentralised Advertisement Marketplace, a web-based advertising marketplace that uses blockchain infrastructure and smart contracts to coordinate advertisers and publishers. Conventional advertising services commonly place a central platform between these parties, which can make it difficult to independently inspect transaction handling, fees, and payment status. The proposed model allows advertisers to publish campaigns and publishers to offer advertising inventory, with bidding and settlement rules represented through smart contracts. A hybrid architecture keeps essential transaction evidence on-chain while storing application records in a conventional database. The design aims to improve auditability and reduce reliance on a single intermediary. Practical deployment would still need to address transaction costs, scalability, privacy, and reliable verification of ad delivery.
KEYWORDS
Decentralised Advertisement Marketplace proposes a blockchain-supported workflow for connecting advertisers with publishers. The design uses smart contracts for selected agreement and settlement operations, while a conventional database stores detailed application information. This combination can make important transaction events easier to verify and may reduce reliance on a central intermediary. However, blockchain alone cannot confirm that an advertisement was genuinely delivered to a real person, and a working deployment must address privacy, transaction costs, contract security, and abuse prevention. Further development could add machine-learning-assisted campaign matching, auction mechanisms with dynamic pricing, privacy-preserving reporting, support for additional blockchain networks, and a dashboard for impressions, clicks, and revenue. Reliable delivery verification and stronger scalability testing should be treated as core engineering tasks rather than optional additions.
1. Solana Foundation: Solana Documentation: Core Concepts and Programs. Online documentation. https://solana.com/docs/core 2. Solana Foundation: Solana Program Examples. Online documentation. ttps://solana.com/docs/programs/examples 3. Anchor: Anchor Framework Documentation. Online documentation. https://www.anchor-lang.com/docs 4. Anchor: Anchor Framework Quickstart. Online documentation. https://www.anchor-lang.com/docs/quickstart 5. Prisma: Prisma ORM Documentation. Online documentation. https://www.prisma.io/docs 6. Prisma: Prisma ORM with PostgreSQL: Quickstart. Online documentation. https://www.prisma.io/docs/prisma-orm/quickstart/postgresql 7. Next.js: Next.js Documentation. Online documentation. https://nextjs.org/docs 8. PostgreSQL Global Development Group: PostgreSQL Documentation. Online documentation. https://www.postgresql.org/docs/ 9. Redis: Redis Documentation. Online documentation. https://redis.io/docs/ 10. Rust Foundation: The Rust Programming Language. Online documentation. https://doc.rust-lang.org/book/ 11. Solana Foundation: Solana Web3.js: JavaScript Client Documentation. Online documentation. https://solana.com/docs/clients/javascript
Publication Date
10/17/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
3
Total views since publication
PDF Downloads
9
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...